@article{oai:kyutech.repo.nii.ac.jp:00004694,
 author = {Qian, Shaohua and Tan, Joo kooi and タン, ジュークイ and Kim, Hyungseop and 金, 亨燮 and 石川, 聖二 and Ishikawa, Seiji and Morie, Takashi and 森江, 隆 and Shinomiya, Takashi},
 issue = {3},
 journal = {Journal of Robotics, Networking and Artificial Life},
 month = {Dec},
 note = {We have already proposed an obstacles detection method using a video taken by a vehicle-mounted monocular camera. In this method, correct obstacles detection depends on whether we can accurately detect and match feature points. In order to improve the accuracy of obstacles detection, in this paper, we make comparison among four most commonly used feature detectors; Harris, SIFT, SURF and FAST detectors. The experiments are done using our obstacles detection method. The experimental results are compared and discussed, and then we find the most suitable feature point detector for our obstacles detection method.},
 pages = {184--188},
 title = {Comparing effectiveness of feature detectors in obstacles detection from video},
 volume = {1},
 year = {2014},
 yomi = {イシカワ, セイジ and モリエ, タカシ}
}